Objective To analyze the global literature related to functional cure of hepatitis B from 2019 to 2023 by using bibliometric analysis methods,so as to help researchers understand the research hotspots and trends in this field.Methods The literature related to the topic of functional cure of hepatitis B included in the Science Citation Index Expanded(SCI-Expanded)of the Web of Science Core Collection from 2019 to 2023 was searched.By using VOSviewer and CiteSpace visual analysis tools,analyses were conducted from the perspectives of publication trends,international research cooperation networks,and keyword emergence,and were elaborated with the specific contents of the related literature to elucidate research hotspots and trends.Results A total of 600 eligible papers in this field were included.Keyword co-occurrence and thematic clustering suggested that the main research directions of functional cure were:serum biomarkers for prediction and monitoring of functional cure,functional cure and immunity,nucleoside analog discontinuation,interferon therapy,and long-term prognosis of functional cure.The research contents of the ESI highly cited original research papers were similar to the clustering of the above,but showed more attention on the novel agents for functional cure.The content of the keyword emergence map showed that hotspots of interest changed from virologic mechanisms and serum markers,to nucleoside analog discontinuation and interferon therapy,and finally to immunologic mechanisms and new drug.Conclusion The research hotspots and trends of functional cure of hepatitis B were focused on virological mechanism,serum markers,immunological mechanism,nucleoside analog discontinuation,interferon therapy,and long-term prognosis after cure.

Objective To conduct a bibliometric analysis of relevant literature on liver failure caused by viral hepatitis from the past five years,and to help researchers understand the current status and hotspots in this field,and to provide insights into future research trends.Methods Based on the Science Citation Index Expanded(SCI-Expanded)data from Web of Science Core Collection,visualization analysis and mapping were conducted through VOSviewer and CiteSpace software to generate visual representations of international research collaboration networks,keyword co-occurrence clustering,and keyword bursts.Results From 2019 to 2023,a total of 873 relevant literature were included,with a total citation frequency of 7 364 and an average citation frequency of 8.44.Among them,China had the highest number of publications(458 articles,52.46%)and had the most cooperation with the United States.The research hotspots of viral hepatitis induced liver failure were mainly divided into three categories:basic and clinical research on liver failure caused by non-hepatitis B virus(HBV),the pathogenesis of HBV related liver failure,and treatment and prediction models of liver failure.The keyword time overlay map and burst map showed that the research hotspots had gradually shifted from the prevention and control of new infections to the treatment and prognosis assessment of patients with chronic infection.Conclusion China is a major international research entity in liver failure caused by viral hepatitis and actively participates in international scientific collaborations.The research hotspots on liver failure caused by viral hepatitis have gradually shifted from preventing viral hepatitis infections and expanding treatment options to the treatment of chronic infection patients and prognostic prediction.

Since the concept of artificial intelligence(AI)was proposed in 1956,medicine has been one of its core application fields.At present,AI technology has run through the whole diagnosis and treatment process,and has been extended to innovative scenarios such as drug research and development,surgical robots,and clinical trial optimization.Scenario application is the backbone of the technical system.Multimodal data fusion integrates heterogeneous data such as images,medical records,and genes,and federated learning realizes cross-institutional privacy protection and sharing.Deep learning achieved more than 90%sensitivity in imaging diagnosis for lung nodule detection,while generative AI accelerates drug molecule design.The core applications cover four major areas field:AI is more accurate than professional doctors in breast cancer and diabetic retinopathy screening;robotics shortens hospital stays and improves spinal screw placement accuracy;AI shortens the discovery cycle of drug targets;machine learning improves the efficiency of subject screening and enables real-time data monitoring.The application of AI in the medical field is first constrained by data quality and algorithm bias,and the"black box"characteristics of AI models and the ambiguity of responsibility attribution are the core obstacles to clinical implementation.This paper analyzes key technological breakthroughs and typical cases,discusses the application scenarios and challenges of AI in medicine,and aims to provide a reference for the future development of medical intelligence.

Objective To analyze the global literature related to functional cure of hepatitis B from 2019 to 2023 by using bibliometric analysis methods,so as to help researchers understand the research hotspots and trends in this field.Methods The literature related to the topic of functional cure of hepatitis B included in the Science Citation Index Expanded(SCI-Expanded)of the Web of Science Core Collection from 2019 to 2023 was searched.By using VOSviewer and CiteSpace visual analysis tools,analyses were conducted from the perspectives of publication trends,international research cooperation networks,and keyword emergence,and were elaborated with the specific contents of the related literature to elucidate research hotspots and trends.Results A total of 600 eligible papers in this field were included.Keyword co-occurrence and thematic clustering suggested that the main research directions of functional cure were:serum biomarkers for prediction and monitoring of functional cure,functional cure and immunity,nucleoside analog discontinuation,interferon therapy,and long-term prognosis of functional cure.The research contents of the ESI highly cited original research papers were similar to the clustering of the above,but showed more attention on the novel agents for functional cure.The content of the keyword emergence map showed that hotspots of interest changed from virologic mechanisms and serum markers,to nucleoside analog discontinuation and interferon therapy,and finally to immunologic mechanisms and new drug.Conclusion The research hotspots and trends of functional cure of hepatitis B were focused on virological mechanism,serum markers,immunological mechanism,nucleoside analog discontinuation,interferon therapy,and long-term prognosis after cure.

Objective To conduct a bibliometric analysis of relevant literature on liver failure caused by viral hepatitis from the past five years,and to help researchers understand the current status and hotspots in this field,and to provide insights into future research trends.Methods Based on the Science Citation Index Expanded(SCI-Expanded)data from Web of Science Core Collection,visualization analysis and mapping were conducted through VOSviewer and CiteSpace software to generate visual representations of international research collaboration networks,keyword co-occurrence clustering,and keyword bursts.Results From 2019 to 2023,a total of 873 relevant literature were included,with a total citation frequency of 7 364 and an average citation frequency of 8.44.Among them,China had the highest number of publications(458 articles,52.46%)and had the most cooperation with the United States.The research hotspots of viral hepatitis induced liver failure were mainly divided into three categories:basic and clinical research on liver failure caused by non-hepatitis B virus(HBV),the pathogenesis of HBV related liver failure,and treatment and prediction models of liver failure.The keyword time overlay map and burst map showed that the research hotspots had gradually shifted from the prevention and control of new infections to the treatment and prognosis assessment of patients with chronic infection.Conclusion China is a major international research entity in liver failure caused by viral hepatitis and actively participates in international scientific collaborations.The research hotspots on liver failure caused by viral hepatitis have gradually shifted from preventing viral hepatitis infections and expanding treatment options to the treatment of chronic infection patients and prognostic prediction.

Since the concept of artificial intelligence(AI)was proposed in 1956,medicine has been one of its core application fields.At present,AI technology has run through the whole diagnosis and treatment process,and has been extended to innovative scenarios such as drug research and development,surgical robots,and clinical trial optimization.Scenario application is the backbone of the technical system.Multimodal data fusion integrates heterogeneous data such as images,medical records,and genes,and federated learning realizes cross-institutional privacy protection and sharing.Deep learning achieved more than 90%sensitivity in imaging diagnosis for lung nodule detection,while generative AI accelerates drug molecule design.The core applications cover four major areas field:AI is more accurate than professional doctors in breast cancer and diabetic retinopathy screening;robotics shortens hospital stays and improves spinal screw placement accuracy;AI shortens the discovery cycle of drug targets;machine learning improves the efficiency of subject screening and enables real-time data monitoring.The application of AI in the medical field is first constrained by data quality and algorithm bias,and the"black box"characteristics of AI models and the ambiguity of responsibility attribution are the core obstacles to clinical implementation.This paper analyzes key technological breakthroughs and typical cases,discusses the application scenarios and challenges of AI in medicine,and aims to provide a reference for the future development of medical intelligence.

Relevant literature on mobile medical devices combined with the ecological momentary assessment(EMA)method applied to lung cancer patient caring was collected from some databases of CNKI,Wanfang,VIP,China Biomedical Literature Database,PubMed,Embase,Cochrane Library,CINAHL and Web of Science.The method of scoping review was used to sort out the general characteristics of the included literature,types and application of mobile medical devices,assessment content elements and outcome indicators.The feasibility and validity of mobile medical devices combined with the EMA method for the symptom assessment of lung cancer patients were described,whose advantages in monitoring during lung cancer caring and application prospects were elaborated.The problems of mobile medical devices during practical application were pointed out and some countermeasures were put forward accordingly.References were provided for personalized remote caring of lung cancer patients and development of intelligent multi-modal mobile devices.[Chinese Medical Equipment Journal,2025,46(10):71-77]

In 2023, new diagnostic criteria were proposed to distinguish myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) from other inflammatory diseases of the central nervous system.With typical clinical presentation and neuroimaging features, the seropositive status of anti-myelin oligodendrocyte glycoprotein-IgG (MOG-IgG) is essential for the diagnosis of MOGAD.Advances in cell transfection immunofluorescence assays have improved diagnostic accuracy in the last few years, but there are differences in the positive predictive value of serum MOG-IgG titers in the context of different MOGAD prevalence.Therefore, alternative diagnostic methods need to be further explored, and the clinical significance of low MOG-IgG titers should be carefully interpreted.In this review, the main clinical features, current understanding and challenges of MOGAD were discussed, including uncertainties about the specificity and pathogenicity of myelin oligodendrocyte glycoprotein autoantibodies and the need to identify immunopathological targets for future therapies.Moreover, it is necessary to search for and validate biomarkers that can help diagnose and detect disease activity, and it is important to identify MOGAD patients who need long-term immunotherapy.

Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.

Relevant literature on mobile medical devices combined with the ecological momentary assessment(EMA)method applied to lung cancer patient caring was collected from some databases of CNKI,Wanfang,VIP,China Biomedical Literature Database,PubMed,Embase,Cochrane Library,CINAHL and Web of Science.The method of scoping review was used to sort out the general characteristics of the included literature,types and application of mobile medical devices,assessment content elements and outcome indicators.The feasibility and validity of mobile medical devices combined with the EMA method for the symptom assessment of lung cancer patients were described,whose advantages in monitoring during lung cancer caring and application prospects were elaborated.The problems of mobile medical devices during practical application were pointed out and some countermeasures were put forward accordingly.References were provided for personalized remote caring of lung cancer patients and development of intelligent multi-modal mobile devices.[Chinese Medical Equipment Journal,2025,46(10):71-77]